ArticleHealth services & outcomes research methodology2016
An analysis of patient-sharing physician networks and implantable cardioverter defibrillator therapy.
Article in Health services & outcomes research methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
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- A Scoping Review of Multilevel Patient-Sharing Network Measures in Health Services Research.Medical care research and review : MCRR · 2025Article
- Developing and Comparing Four Families of Bayesian Network Autocorrelation Models for Binary Outcomes: Estimating Peer Effects Involving Adoption of Medical Technologies.Biometrical journal. Biometrische Zeitschrift · 2025Article
- The association of prescriber prominence in a shared-patient physician network with their patients receipt of and transitions between risky drug combinations.Applied network science · 2025Article
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- Bayesian Hierarchical Network Autocorrelation Models for Estimating Direct and Indirect Effects of Peer Hospitals on Outcomes of Hospitalized Patients.Research square · 2024Article
- Estimating the impact of physician risky-prescribing on the network structure underlying physician shared-patient relationships.Applied network science · 2024Article
- Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients.Applied network science · 2024Article
- Optimal Physician Shared-Patient Networks and the Diffusion of Medical Technologies.Journal of data science : JDS · 2023Article
- Beyond patient-sharing: Comparing physician- and patient-induced networks.Health care management science · 2022Article
- Using social network analysis methods to identify networks of physicians responsible for the care of specific patient populations.BMC health services research · 2022Article
- Review of social networks of professionals in healthcare settings-where are we and what else is needed?Globalization and health · 2021Review
- Making sense of the French public hospital system: a network-based approach to hospital clustering using unsupervised learning methods.BMC health services research · 2021Article
- Investigation of patient-sharing networks using a Bayesian network model selection approach for congruence class models.Statistics in medicine · 2021Article
- A network analysis of patient referrals in two district health systems in Tanzania.Health policy and planning · 2021Article
- A measure of local uniqueness to identify linchpins in a social network with node attributes.Applied network science · 2021Article
- The impact of sampling patients on measuring physician patient-sharing networks using Medicare data.Health services research · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The application of social network analysis to the organization of healthcare delivery is a relatively new area of research that may not be familiar to health services statisticians and other methodologists. We present a methodological introduction to social network analysis with a case study of physicians' adherence to clinical guidelines regarding use of implantable cardioverter defibrillators (ICDs) for the prevention of sudden cardiac death. We focus on two hospital referral regions (HRRs) in Indiana, Gary and South Bend, characterized by different rates of evidence-based ICD use (86% and 66%, respectively). Using Medicare Part B claims, we construct a network of physicians who care for cardiovascular disease patients based on patient-sharing relationships. Approaches for weighting physician dyads and aggregating physician dyads by hospital are discussed. Then, we obtain a set of weighted network statistics for the positions of hospitals in their referral region, global statistics for the physician network within each hospital, and of the network positions of individual physicians within hospitals, providing the mathematical specification and sociological intuition underlying each measure. We find that adjusting for network measures can reduce the observed differences between referral regions for evidence-based ICD therapy. This study supports previous reports on how variation in physician network structure relates to utilization of care, and motivates future work using physician network measures to examine variation in evidence-based medicine.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.